Qwen3.5 2B is a lightweight 2 billion parameter dense model designed for efficient deployment while keeping multimodal vision-language capability, built on a hybrid architecture that pairs Gated DeltaNet with attention layers. It supports a 262,144 token native context window and runs in non-thinking mode by default for faster responses. Reported results include MMLU-Pro 55.3 and MMMU 64.2, with the model handling text, image, and video inputs across more than 200 languages. Thinking mode can be enabled when a task calls for step-by-step reasoning. Its small footprint makes it well suited to prototyping, task-specific fine-tuning, and resource-constrained scenarios where a compact multimodal model is preferred.
Qwen3.5 2B runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Enterprise | No | $0.02 | $0.10 |
Qwen3.5 2B runs on a single route through the Opper gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.
Each route hosting Qwen3.5 2B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Qwen3.5 2B through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/Qwen/Qwen3.5-2B",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
